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Proceedings Paper

PSF estimation for blind motion deblurring with image edge prior
Author(s): Ying Fu; Jin Rong Hu; Xi Wu; Ji Liu Zhou
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Paper Abstract

Motion blur due to camera shaking during exposure is one common phenomena of image degradation. Image motion deblurring is an ill-posed problem, so regularization with image prior and (or) PSF prior is used to estimate PSF and (or) recover original image. In this paper, we exploit image edge prior to estimate PSF based on useful edge selection rule. And we still adopt L1 norm of PSF to ensure its sparsity and Tikhonov regularization to ensure its smoothing during the PSF estimation procedure. And the Laplacian image prior is adopted to restore latent image. The experiment shows that the proposed algorithm outperforms other algorithms.

Paper Details

Date Published: 29 August 2016
PDF: 10 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003324 (29 August 2016); doi: 10.1117/12.2244846
Show Author Affiliations
Ying Fu, Chengdu Univ. of Information Technology (China)
Jin Rong Hu, Xihua Univ. (China)
Xi Wu, Chengdu Univ. of Information Technology (China)
Ji Liu Zhou, Chengdu Univ. of Information Technology (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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